Vehicle seat adjustment systems that move more than one seat in a linked manner are disclosed. A vehicle seat adjustment system for a vehicle includes a front seat of the vehicle, one or more passenger seats behind the front seat, an input device configured to receive an input for adjusting positions of the front seat, a first actuator configured to adjust positions of the front seat, a second actuator configured to adjust positions of the one or more passenger seats, and a controller communicatively coupled to the input device and the first and second actuators. The controller instructs the first actuator to move the front seat in a longitudinal direction for a first distance in response to the received input, and instructs the second actuator to move the one or more passenger seats in the longitudinal direction for a second distance in response to the received input.

A vehicle detection system includes an RFID reader, a detection device, and an ECU. The RFID reader transmits a transmission signal including at least a signal that supplies power. The detection device includes a second antenna unit that mutually transmits and receives a signal to and from the RFID reader, an RFID detection circuit that is activated using the signal that supplies power included in the transmission signal received by the second antenna unit as driving power and that outputs a detection signal to the second antenna unit, and a switch circuit that switches an electrical connection portion between the second antenna unit and the RFID detection circuit to a contact state or to a non-contact state according to a state inside the vehicle. The ECU determines the state inside the vehicle on the basis of the detection signal received by the RFID reader.

A method for controlling a seat is performed by a mobile device in cooperation with a database. The database contains at least one reference data set which contains a physical characteristic data and a seat setting data. The method includes the steps of: a) upon receipt of an input, searching the database to identify which one(s) of the at least one reference data set contains the physical characteristic data that matches the input, the one(s) serving as candidate data set(s); and b) when a total number of the candidate data set(s) identified in step a) is one, outputting, to the seat, the seat setting data contained in the candidate data set for controlling the seat.

A method of correcting a seatback recline angle is provided. The method includes a vehicle seat having a seat portion and a seatback portion, wherein the seatback portion is configured to recline to a plurality of reclined positions. The method further includes the steps of (a) measuring a recline angle of a seatback; (b) comparing the recline angle of the seatback to a predetermined recline angle threshold; (c) determining if the recline angle exceeds the recline angle threshold; (d) providing a warning to a seat occupant when the recline angle exceeds the recline angle threshold, wherein the warning is configured to prompt a corrective action from the seat occupant; and (e) moving the seatback to a corrected position when the corrective action from the seat occupant is not received after a predetermined period of time.

A profile for an occupant is stored. The profile includes a plurality of clusters of sitting positions for the occupant in a seat and classifications of respective clusters as preferred or nonpreferred. Respective clusters are classified as preferred or nonpreferred based on sitting scores for the respective sitting positions in that cluster. A higher sitting score increases a likelihood of the classification being preferred. A series of pressure maps indicating a respective series of sitting positions of the occupant in the seat are received. The pressure maps include a current pressure map. One of the sitting positions is assigned to one of the clusters that is classified as preferred in response to the sitting score of that sitting position being greater than a threshold score. A physical configuration of the seat is adjusted in response to the current sitting position being in one of the clusters that is classified as nonpreferred.

In an embodiment, there is provided a chair including: a chair body; at least one sensing element on the chair body for sensing a human body pressure on the chair body; at least one gasbag on the chair body for supporting a waist of a human body; a gas pump for performing inflation and deflation of the at least one gasbag; and a control assembly in signal connection with the at least one sensing element for controlling the gas pump to perform inflation and deflation of the at least one gasbag according to information acquired by the sensing element.

A method for a vehicle includes using sensors in a vehicle seat to detect biometrics of a person sitting in the seat and a vehicle controller determining from the biometrics of the person whether the person requires medical attention. In response to the person requiring medical attention, a request for assistance for the person is broadcasted via a V2X transceiver of the vehicle to medical practitioners of a medical practitioner network who are near a location of vehicle during the broadcasting. The medical practitioner network includes the person as a subscriber and medical practitioners as providers. Alternately, in response to the person requiring medical attention, the vehicle controller uses an autonomous vehicle control system of the vehicle to drive the vehicle to a medical facility.

Systems, devices, and techniques are provided for occupancy assessment of a vehicle. For one or more occupants of the vehicle, the occupancy assessment establishes position and/or identity for some or all of the occupant(s).

Techniques are described for component configuration based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing the use of component(s) of the system by individual(s). The sensor data is analyzed (e.g., in real time) to determine an updated configuration for component(s) (e.g., an adjustment to the seat back, lumbar support of a car seat, etc.). The updated configuration may be communicated to the individual as a recommended configuration. In some implementations, the updated configuration may be communicated directly to the component which, on receiving and processing the configuration update, sends signals to various actuators to move the subcomponents of the component into the updated configuration. In some implementations, the sensor data is used to train, through machine learning, a model that provides configuration update(s) for component(s) based on the input sensor data.

Techniques are described for component design based on sensor data. Sensor data is collected by sensors in, or proximal to, a system under diagnosis (e.g., a vehicle), the sensor data describing use of one or more components of the system by one or more individuals. The sensor data from various instances of the component may be aggregated and analyzed to determine update(s) to the design of the component. For example, the aggregate sensor data may be analyzed to identify portions of the component frequently associated with movements by users (e.g., fidgeting, adjustments). The identified portion(s) can be presented graphically in a design view used to specify design modification(s) for the component. In some implementations, the aggregate sensor data is provided as input to a model that is trained, using machine learning, to output design modification(s) for the component based on the input aggregate sensor data.